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What are some good ways to assess data quality and availability when using Generative AI?

Select the best answer below:

1. Select only the popular AI chatbot tools, use only real-time data regardless of relevance or accuracy, ask the AI to cite its sources.

2. Rely solely on external data, ensure the Generative AI tool was updated in the last six months.

3. Vet third-party providers, set up alerts for anomalies, and continuously validate outcomes.

Answer :

The best way to assess data quality and availability when using Generative AI is to vet third-party providers, set up alerts for anomalies, and continuously validate outcomes.

  1. Vet Third-Party Providers: It's important to carefully evaluate the reliability and trustworthiness of the data and model providers you are using. This involves checking their credibility, reputation, and the accuracy of the information they offer.

  2. Set Up Alerts for Anomalies: By setting up alerts, you can quickly identify when the AI system produces unexpected or suspicious outputs. This proactive measure helps in maintaining the accuracy and consistency of the data being generated or processed.

  3. Continuously Validate Outcomes: Regularly validate the outputs generated by the AI against known benchmarks or expected results. This ensures that the AI model continues to perform accurately and reliably over time.

Choosing this approach helps maintain a high level of data quality and ensures that the AI-generated results are both meaningful and accurate.

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Rewritten by : Jeany